Game Development Expert - AI Training Projects

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

• Demonstrated hands-on game development experience through professional employment, indie projects, solo development, or serious hobby projects.
• Strong proficiency in at least one major game engine, such as Unity, Godot, or Unreal Engine.
• Experience with relevant scripting and programming technologies, including C#, GDScript, C++, or Blueprints.
• Ability to navigate game editors, manage scenes, debug gameplay logic, and troubleshoot engine-related issues.
• Proven ability to identify and resolve gameplay bugs through iterative testing.
• Ability to design interactive features and understand how multiple game systems work together.
• Strong written communication skills for documenting task requirements and acceptance criteria.
• A portfolio or verifiable examples of game development work, such as published games, GitHub repositories, itch.io projects, game jam entries, or shipped titles.

• Build small-scale game projects or interactive scenes using established game engines.
• Introduce realistic gameplay bugs that require investigation, playtesting, and on-screen analysis.
• Design challenging feature-development tasks involving multiple gameplay systems and mechanics.
• Write clear, concise task briefs modeled on real-world instructions from players, designers, or producers.
• Develop reference solutions for each task, including bug fixes and feature implementations.
• Define measurable acceptance criteria, including required input sequences, expected visual outcomes, and verifiable in-game states.
• Conduct end-to-end playtesting to verify that tasks are reproducible, reliable, and solvable.
• Ensure tasks accurately reflect real game development workflows and provide meaningful challenges for AI systems.